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100-Days-Of-ML-Code中文版
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Automatic extraction of relevant features from time series:
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
A course in reinforcement learning in the wild
Portfolio and risk analytics in Python
Technical Analysis Library using Pandas and Numpy
PyTorch implementation of AnimeGANv2
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
Introduction to Deep Neural Networks with Keras and Tensorflow
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Simplified implementations of deep learning related works
YoloV3 Implemented in Tensorflow 2.0
Coding the Machine Learning Tutorial for Learning to Learn
Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主)，每天更新 https://finmind.github.io/
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Jupyter notebooks for using & learning Keras
Deep Learning tutorials in jupyter notebooks.
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
Open-source implementation of Google Vizier for hyper parameters tuning
A toolkit for controlling Euro Truck Simulator 2 with the end-to-end driving model