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advancedoptml

CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning

awesome-diffusion-models

A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models

awesome-incremental-learning

Awesome Incremental Learning

cl_atom_swapping

ICLR 2022 (Spolight): Continual Learning With Filter Atom Swapping

codef

Official PyTorch implementation of CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

guided-diffusion

l3net

ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1500+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1500+页)和视频链接

mergan

mine_pytorch

MINE: Mutual Information Neural Estimation in pytorch (unofficial)

openai-rl-baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

pyn2n

Pytorch Re-implementation of Noise2Noise

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

rigl-torch

Extremely lightweight & easy to use PyTorch implementation of the sparse model training method "RigL" by Google Research.

rotdcf

Code for ICLR19 paper: 'RotDCF: Decomposition of Convolutional Filters for Rotation Equivariant Deep Networks'

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