jerryfrancis-97 Goto Github PK

awesome-ai-ml-dl

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

basalt-2022-behavioural-cloning-baseline

Simple behavioural cloning baseline solution for BASALT 2022

cltk

The Classical Language Toolkit

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

envs_boilerplate_examples

Boilerplate code for simple understanding for integration with different environments.

flexible_option_learning

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

jazz-music-generation-using-lstm

It uses LSTM network model to learn a jazz composition and then randomly samples musical tones according the jazz style learned. This was an assignment of week 1 for a course "Sequence and Models" in Coursera.

jerryfrancis-97.github.io

My public page.

reinforcement_learning

Programs on concepts that I have learnt in RL.

rlkit

Collection of reinforcement learning algorithms

sentinelsat

Search and download Copernicus Sentinel satellite images

shogun

Shōgun

spinning-up-papers

Notes on papers read from the list given on the Spinning-Up website.

waste-prediction-model

It basically predicts the amount of waste going to be produced the next or over the next week. I have tried basic time-series methods and approaches to do the time series forecasting of waste. This was a part of an IoT based smart waste management system idea for a state-level technical fest TEKON'19 ,which got selected to the final round.