ffcv
best-of-ml-python
| ffcv | best-of-ml-python | |
|---|---|---|
| 8 | 16 | |
| 2,747 | 15,335 | |
| 0.7% | 0.7% | |
| 3.5 | 7.8 | |
| 9 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Creative Commons Attribution Share Alike 4.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
ffcv
- Question: TIFF image dataset - size in RAM.
-
[P] Composer: a new PyTorch library to train models ~2-4x faster with better algorithms
PyTorch Lightning is also very slow compared to Composer. You don't have to believe us: our friends who wrote the FFCV library benchmarked us against PTL (see the lower left plot in the first cluster of graphs) , and you can see the difference for yourself. For the same accuracy, the FFCV folks found that Composer is about 5x faster than PTL on ResNet-50 on ImageNet.
- FFCV: Fast Forward Computer Vision
-
Does anyone know where I can find research papers for preprocessing large image datasets?
maybe something like this? https://github.com/libffcv/ffcv
- Ffcv: Train models at a fraction of the cost with accelerated data loading
- Show HN: FFCV – Accelerated machine learning via fast data loading
-
[P] FFCV: Accelerated Model Training via Fast Data Loading
Hi! You can join the slack directly from the link on the homepage! (ffcv.io)
best-of-ml-python
-
Ask HN: How to get back into AI?
For Python, here's a nice compilation: https://github.com/ml-tooling/best-of-ml-python/blob/main/RE...
- Best-Of Machine Learning with Python
-
Questions regarding Job Requirements for data analyst to data science transition?
You will need numpy, scipy, pandas, scikit-learn, Keras/tensorflow/pytorch, xgboost and many many many others. See this list for example.
- Awesome list of ML
- Are there any speech recognition modules so I can write one and do not have to rely on google and the likes?
-
Learning opencv
Take a look at this list on github. It has a pretty comprehensive list of python image libraries.
- Best-of Machine Learning with Python
- 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
What are some alternatives?
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
Awesome-WAF - 🔥 Web-application firewalls (WAFs) from security standpoint.
composer - Supercharge Your Model Training
ktrain - ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
apex - A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
dtale - Visualizer for pandas data structures
array_storage_benchmark - Compare some methods of array storage in Python (numpy)
awesome-python - An opinionated list of awesome Python frameworks, libraries, software and resources.
ffcv-imagenet - Train ImageNet *fast* in 500 lines of code with FFCV
kmodes - Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data
pillow-simd - The friendly PIL fork
NBA-Machine-Learning-Sports-Betting - NBA sports betting using machine learning