huckiyang Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

awesome-deep-causal-learning

A curated list of awesome deep causal learning methods since 2018

awesome-deep-neuroevolution

A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)

awesome-neural-reprogramming-prompting

A curated list of awesome adversarial reprogramming and input prompting methods for neural networks since 2022

certified-qnn

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

colab_data_tf_lite_only

tmp

complexcnn

pytorch implementation of complex convolutional neural network

corl_multi_agent_rl

Tennis Environment in Unity

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep_complex_networks

Implementation related to the Deep Complex Networks

deep_sort

Simple Online Realtime Tracking with a Deep Association Metric

deeprl-p2-continuous-control

Project 2 of Udacity's Deep Reinforcement Learning nanodegree program

differential-privacy-for-speech

some open source scripts

dipco-dataset-record

EU zenodo backup link for Dipco, Van Segbroeck et al. Interspeech 2020

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

dowhy

DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

drl-torch-corl

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

drlnd-udacity

Deep Reinforcement Learning Nanodegree program from Udacity

dtmf_svm_signal

GaTech ECE 6500 - Fall 2017, all copyright reserved by the author

e2e-lipreading

Pytorch code for End-to-End Audiovisual Speech Recognition

evolugenenet-adjacency-matrix-visualizer

ICML 18 workshop - Evolutionary Strategy Gradient Decent for Designing Gene Circuit

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

eyenet

ICML 18 workshop - A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

eyenet-gans

ACCV'18 workshop - Synthesizing New Retinal Symptom Images by Multiple Generative Models

eyenet2

ICML Workshop 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

interspeech23-tutorial-para-efficient-cross-modal-tutorial

Interspeech Tutorial - Resource Efficient and Cross-Modal Learning Toward Foundation Modeling

kaust-jesper

KAUST'17 - Training Guide for Beginner ML for Jesper Tegner group in KAUST

leetcode-3

:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions