Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality. Learn more ā
Top 23 Python Kera Projects
-
-
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
-
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
-
-
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
-
wandb
š„ A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
-
einops
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
-
BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
-
MMdnn
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
-
-
textgenrnn
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
-
image-super-resolution
š Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
-
Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
-
-
PINTO_model_zoo
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
-
-
-
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
yeah my code needs to use multiprocessing, which does not play nice with tqdm. thanks for the tip about positions though, that helped me search more effectively and came up with two promising comments. unmerged / require some workarounds, but might just work:
https://github.com/tqdm/tqdm/issues/1000#issuecomment-184208...
Project mention: Intuituvely Understanding Harris Corner Detector | news.ycombinator.com | 2023-09-11The most widely used algorithms for classical feature detection today are "whatever opencv implements"
In terms of tech that's advancing at the moment? https://co-tracker.github.io/ if you want to track individual points, https://github.com/matterport/Mask_RCNN and its descendents if you want to detect, say, the cover of a book.
Project mention: A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev | dev.to | 2024-02-05Weights & Biases ā The developer-first MLOps platform. Build better models faster with experiment tracking, dataset versioning, and model management. Free tier for personal projects only, with 100 GB of storage included.
Project mention: Einops: Flexible and powerful tensor operations for readable and reliable code | news.ycombinator.com | 2023-12-12
Any performance benchmark against intel's 'IPEX-LLM'[0] or others?
[0] - https://github.com/intel-analytics/ipex-llm
Try this: 1) (Not sure if that's necessary.) Uninstall textgenrnn: pip3 uninstall textgenrnn. 2) Install it using one of this commands: * pip3 install git+git://github.com/minimaxir/textgenrnn.git * pip3 install git+https://github.com/minimaxir/textgenrnn.git (Try the first one, but if it'll raise an error, try the second one.) That's discussion about this "multi_gpu_model not found" error: https://github.com/minimaxir/textgenrnn/issues/222.
Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09Also, Iād suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models
The donkey car community is also a good ressource, but based around the Raspberry Pi and a lot more complex: https://www.donkeycar.com/
Go ahead, play with any adversarial attacks from https://github.com/bethgelab/foolbox you will not find an attack that is both robust to perturbations and almost visually imperceptible
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Python Keras related posts
- PyTorch Library for Running LLM on Intel CPU and GPU
- Hyperparameter tuning neural networks on financial data
- Show HN: A gallery of dev tool marketing examples
- stock prediction NN and ML examples
- Intuituvely Understanding Harris Corner Detector
- How to structure/manage a machine learning experiment? (medical imaging)
- How to grow a developer blog to 3M annual visitors? with Jakub Czakon (Neptune.ai)
-
A note from our sponsor - InfluxDB
www.influxdata.com | 25 Apr 2024
Index
What are some of the best open-source Kera projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tqdm | 27,405 |
| 2 | data-science-ipython-notebooks | 26,459 |
| 3 | Mask_RCNN | 24,119 |
| 4 | d2l-en | 21,628 |
| 5 | best-of-ml-python | 15,302 |
| 6 | horovod | 13,942 |
| 7 | Keras-GAN | 9,105 |
| 8 | autokeras | 9,066 |
| 9 | wandb | 8,190 |
| 10 | einops | 7,897 |
| 11 | BigDL | 5,910 |
| 12 | MMdnn | 5,782 |
| 13 | keras-rl | 5,489 |
| 14 | textgenrnn | 4,943 |
| 15 | segmentation_models | 4,602 |
| 16 | image-super-resolution | 4,493 |
| 17 | pytorch-summary | 3,949 |
| 18 | Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials | 3,638 |
| 19 | polyaxon | 3,479 |
| 20 | PINTO_model_zoo | 3,288 |
| 21 | donkeycar | 3,001 |
| 22 | keras-tuner | 2,822 |
| 23 | foolbox | 2,655 |
Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com