JasonQSY / ML-Weekly
My weekly of machine learning. Collection of implemented algorithms.
☆34Updated 6 years ago
Alternatives and similar repositories for ML-Weekly:
Users that are interested in ML-Weekly are comparing it to the libraries listed below
- Simple Examples using TensorFlow Eager Execution☆43Updated 7 years ago
- Jupyter notebook running through basic examples of Distributed TensorFlow☆71Updated 3 years ago
- a bunch of notes about machine learning, image statistics, theoretical neuroscience, etc.☆47Updated 6 years ago
- ☆65Updated 2 years ago
- A lightweight MATLAB deeplearning toolbox,based on gpuArray.☆54Updated 7 years ago
- ☆20Updated 8 years ago
- share the codes I write during I learn GAN☆70Updated 6 years ago
- TensorFlow Eager Execution Tutorial and Examples for Beginners☆53Updated 6 years ago
- https://2017.icml.cc/Conferences/2017/Schedule☆72Updated 7 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Comparison of Generative Models in Tensorflow☆97Updated 7 years ago
- cs20si learning note https://ghli.org/☆59Updated 7 years ago
- tensorflow learning according to CS20SI☆48Updated 7 years ago
- My own solutions for Stanford CS231n (2017) assignments☆41Updated 6 years ago
- The assignments of CS231n finished by me☆20Updated 8 years ago
- deep reinforcement learning for personal research☆84Updated 7 years ago
- Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875☆21Updated 7 years ago
- ☆106Updated 6 years ago
- Reinforcement Learning in Python☆107Updated 5 years ago
- Parallel Gradient Boosting Decision Trees☆21Updated 8 years ago
- an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架☆101Updated 4 years ago
- Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II☆127Updated 6 years ago
- Use pytorch the right way http://pytorch.org/docs/☆22Updated 7 years ago
- ☆24Updated 7 years ago
- Code for Improving Deep Neural Network with Multiple Parametric Exponential Linear Units☆45Updated last year
- Traffic Prediction in PaddlePaddle (ASC17 Deep Learning Application)☆17Updated 7 years ago
- Assignments of Andrew Ng's course on coursera☆7Updated 7 years ago
- Imitation Learning Homework 1☆36Updated 7 years ago
- Convolutional Neural Networks for Visual Recognition (kNN, softmax, etc)☆33Updated 8 years ago
- Pytorch version of Hinton's Capsule Theory paper: Dynamic Routing Between Capsules☆45Updated 7 years ago