Hintonthu

opt_methods

Benchmarking optimization methods on convex problems.

random_reshuffling

RR, SO, IG and SGD with logistic regression loss.

20fall-

accelergy

Accelergy is an energy estimation infrastructure for accelerator energy estimations

apollo

An open autonomous driving platform

article-resources

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

AutoDL

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

AutoWSL2019

Awesome-Meta-Learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

bert

TensorFlow code and pre-trained models for BERT

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

Deep-Compression-PyTorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

Deep-Reinforcement-Learning-for-5G-Networks

Code for my publication: Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. Paper under review.

Disout

dqn_mas_rl_bin_aa

FreeLB

Adversarial Training for Natural Language Understanding

goal_aware_prediction

Code for Goal-Aware Prediction: Learning to Model what Matters

google-research

Google Research

Hands-On-Meta-Learning-With-Python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

LIONS-RL

Reinforcement Learning Codes in LIONS group

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

mier_public

prototypical-network-pytorch

A re-implementation of "Prototypical Networks for Few-shot Learning"

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

stochasticGreedyMRI

Stochastic greedy algorithm for optimizing Cartesian sampling for MRI

SVRE

Stochastic Variance Reduced Extragradient

ThinkStats2

Text and supporting code for Think Stats, 2nd Edition

TTUR

Two time-scale update rule for training GANs

ZSL_ABP

Code for the paper ICCV'19 "Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning"