Prateek Mittal's repositories
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
3DModelingRL
Modeling 3D Shapes by Reinforcement Learning (ECCV2020)
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-mlss
List of summer schools in machine learning + related fields across the globe
deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
LSTM-VAE
Unsupervised Deep Learning for Temporal Multi-Omics
LSTM-Variational-AutoEncoder
A PyTorch Implementation of Generating Sentences from a Continuous Space by Bowman et al. 2015.
mbt_gym
mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-frequency trading problems such as market-making and optimal execution. The module is set up in an extensible way to allow the combination of different aspects of different models. It supports highly efficient imp
scikit-learn
scikit-learn: machine learning in Python
Wind-Energy-Prediction-using-LSTM
Time Series Analysis using LSTM for Wind Energy Prediction.
windpowerlib
The windpowerlib is a library to model the output of wind turbines and farms.