Intro-to-Linear-Regression-and-Gradient-Descent VS nn

Compare Intro-to-Linear-Regression-and-Gradient-Descent vs nn and see what are their differences.

Intro-to-Linear-Regression-and-Gradient-Descent

My summary for "Gradient Descent" (by michaelhaar)
Machine Learning Deep Learning gradient-descent siraj-raval
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nn

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠 (by lab-ml)
Deep Learning deep-learning-tutorial Pytorch Gan Transformers reinforcement-learning Optimizers neural-networks Transformer Machine Learning attention literate-programming
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nn.labml.ai
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Intro-to-Linear-Regression-and-Gradient-Descent nn
1 26
3 48,430
- 4.5%
10.0 7.7
over 3 years ago about 1 month ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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Intro-to-Linear-Regression-and-Gradient-Descent

Posts with mentions or reviews of Intro-to-Linear-Regression-and-Gradient-Descent. We have used some of these posts to build our list of alternatives and similar projects.

nn

Posts with mentions or reviews of nn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-09.

What are some alternatives?

When comparing Intro-to-Linear-Regression-and-Gradient-Descent and nn you can also consider the following projects:

shap - A game theoretic approach to explain the output of any machine learning model.

GFPGAN-for-Video-SR - A colab notebook for video super resolution using GFPGAN

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

functorch - functorch is JAX-like composable function transforms for PyTorch.

ZoeDepth - Metric depth estimation from a single image

onnx-simplifier - Simplify your onnx model

Basic-UI-for-GPT-J-6B-with-low-vram - A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

Behavior-Sequence-Transformer-Pytorch - This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf

DFL-Colab - DeepFaceLab fork which provides IPython Notebook to use DFL with Google Colab

Siren-fastai2 - Unofficial implementation of 'Implicit Neural Representations with Periodic Activation Functions'

vision - Datasets, Transforms and Models specific to Computer Vision

Intro-to-Linear-Regression-and-Gradient-Descent vs shap nn vs GFPGAN-for-Video-SR Intro-to-Linear-Regression-and-Gradient-Descent vs TensorFlow-Examples nn vs labml nn vs functorch nn vs ZoeDepth nn vs onnx-simplifier nn vs Basic-UI-for-GPT-J-6B-with-low-vram nn vs Behavior-Sequence-Transformer-Pytorch nn vs DFL-Colab nn vs Siren-fastai2 nn vs vision