tianqi-zhu Goto Github PK

alae

[CVPR2020] Adversarial Latent Autoencoders

alpha

andrew-ng-notes

This is Andrew NG Coursera Handwritten Notes.

attmpti

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

awesome-llm

Awesome-LLM: a curated list of Large Language Model

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

contrastivescenecontexts

Code for CVPR 2021 oral paper "Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts"

cs-video-courses

List of Computer Science courses with video lectures.

cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

cs4243-1

cs4278-5478-project-materials

Project materials for NUS CS4278/5478

cs5340-notebooks

Notebooks for CS5340: Uncertainty Modeling in AI at NUS

deep-q-networks

Implementations of algorithms from the Q-learning family. Implementations inlcude: DQN, DDQN, Dueling DQN, PER+DQN, Noisy DQN, C51

dgcnn

dgflow

Pytorch implementation of DGflow (ICLR 2021).

diffae

Official implementation of Diffusion Autoencoders

dreamerv2

Mastering Atari with Discrete World Models

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

fractalia

Play Fractalia and experience the beauty of recursion

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

go-by-example

gym-grid-driving

A simplified driving environment for testing various reinforcement learning algorithms.

ilvr_adm

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

ip

jacinle

Personal python toolbox.

jempp

PyTorch implementation of JEM++: Improved Techniques for Training JEM

machine_unlearning

Existing Literature about Machine Unlearning

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

open3d-ml

An extension of Open3D to address 3D Machine Learning tasks