Zhibo Zhang 's repositories
generalized_advantage_estimation
Course Presentation for STA4273 2021 Winter, University of Toronto
C-practice
Software Tools and Systems Programming Personal Practice
robust_classification
When Machine Learning Meets Robust Optimization - Course Project for MIE1612 (Stochastic Programming and Robust Optimization)
bayesian-coresets
Automated Scalable Bayesian Inference
Deep-Reinforcement-Learning-Algorithms
31 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
DeepLearningZeroToAll
TensorFlow Basic Tutorial Labs
incontext-learning
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
LSTM-GRU-from-scratch
LSTM, GRU cell implementation from scratch in tensorflow
pytorch_influence_functions
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
removal-explanations
A lightweight implementation of removal-based explanations for ML models.
seaql.github.io
đź“™ The official website of SeaQL
softlearning
Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.