PyTorch Implementations of Dropout Variants

A Real-time Mario Kart AI using CNNs, Offline Search, and DAGGER

🎓 Path to a free self-taught education in Computer Science!

an example of a CUDA extension for PyTorch which computes the Hadamard product of two tensors

Tutorials on how to use pandas effectively to do data analysis

Deep Learning (Python, C, C++, Java, Scala, Go)

Tensor methods in Python with TensorLy

Deep Reinforcement Learning with pytorch & visdom

for learning reinforcement learning using PyTorch.

Python programs to practice or demonstrate skills.

Image restoration with neural networks but without learning.

⏰ AI conference deadline countdowns

Semantic Segmentation Architectures Implemented in PyTorch

This project is for learning and researching on DRL. Any suggestion/improvement is welcomed.

C++ transcripts of the Caffe2 Python tutorials and other C++ example code

A curated list of awesome Deep Learning tutorials, projects and communities.

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …

Compilation of pre-trained deep learning models with demos and code.

ATen: A TENsor library for C++11

A scikit-learn compatible neural network library that wraps pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

Library for fast text representation and classification.

Demo of running NNs across different frameworks

NumPy-like API accelerated with CUDA

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (A…