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alae

[CVPR2020] Adversarial Latent Autoencoders

btgym

OpenAI Gym environment for Backtrader trading platform

captcha_crack

选字验证码破解，试验过网易和极验，破解率99

captcha_solver

Source code for ACM CCS 2018

deep-learning-notes

Experiments with Deep Learning

deepfacelab

DeepFaceLab is the leading software for creating deepfakes.

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

google-map-downloader

Small tools to download Google maps satellite image for a given extent & zoom level to a TIFF file with geographical coordinates and speeding it up with multiple threads and processes.

google-maps-downloader

Bash script to download Google maps satellite imagery for a given coordinate & zoom level to a JPG file

kaggle-web-traffic

1st place solution

keras_odenet

Implementation of (2018) Neural Ordinary Differential Equations in Keras

neural-ode

Neural Ordinary Differential Equation

neural_differential_equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

nips.cocob.pytorch

PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.

osm-hybrid-carto

Transparent map stylesheet for OSM data written in carto. Designed as an overlay for aerial imagery.

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch-wavenet

An implementation of WaveNet with fast generation

sdr-densenet-pytorch

Stochastic Delta Rule implemented in Pytorch on DenseNet

seq2seq-pytorch

Sequence to Sequence Models with PyTorch

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

sql4es

sql4es: JDBC driver for Elasticsearch

swa

Stochastic Weight Averaging in PyTorch

tcn

Sequence modeling benchmarks and temporal convolutional networks

td

Complementary code for the Targeted Dropout paper

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

timeseries_seq2seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

using-deep-learning-neural-networks-and-candlestick-chart-representation-to-predict-stock-market