sarthak-chakraborty

scikit-learn

scikit-learn: machine learning in Python

gym

A toolkit for developing and comparing reinforcement learning algorithms.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

py-spy

Sampling profiler for Python programs

yolov3

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

seq2seq

A general-purpose encoder-decoder framework for Tensorflow

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

node2vec

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

snap

Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

lapack

LAPACK development repository

OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

HARP

Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"

splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

Improved_WGAN

Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow

WGAN-Tensorflow

Wasserstein GAN implemented in Tensorflow Slim

SpAls

Fast Alternating Least Squares via Implicit Leverage Scores Sampling

pensieve

Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

DevProject1

Formatting .sgm files in Python