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drl-portfolio-management

CSCI 599 deep learning and its applications final project

dynamic_generator

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

ebm-anatomy

PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

elephas

Distributed Deep learning with Keras & Spark

fbnn

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

finmem-llm-stocktrading

FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design

geomstats

Computations and statistics on manifolds with geometric structures.

gluon-ts

Probabilistic time series modeling in Python

gprn-svi

Implementation for Stovhastic Variational Inference for following models :Gaussian Process Regression Netwroks (Wilson, 2011) and Sparse GPRN

hft_price_level_forecasting

high frequency forecasting of stock prices using LSTM, SVR, Random forests, KNN regressor and Kalman filter

ihgp

Infinite-horizon Gaussian processes

intro_dgm

An Introduction to Deep Generative Modeling: Examples

kaggle-web-traffic

1st place solution

keras-adversarial-autoencoders

Experiments with Adversarial Autoencoders using Keras

keras-gan

Keras implementations of Generative Adversarial Networks.

keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

lfi

Neural likelihood-free methods in PyTorch.

lightning-transformers

Flexible components pairing 🤗 Transformers with :zap: Pytorch Lightning

magenta

Magenta: Music and Art Generation with Machine Intelligence

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mc_gradients

meta-dataset

A dataset of datasets for learning to learn from few examples

metalearninggp

mid-price-prediction-based-on-high-frequency-data

Mid-Price Forecasting of Limit Order Book Data

modular-metalearning

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

mystery_demo

nce

Noise Contrastive Estimation (NCE) in PyTorch