abhi1345

Abhishek Sharma's repositories

deep-q-rank

A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control

Language:TeXMIT24 40

stock-price-nlp-predictions

Predicting stock prices from the news with random forests and a deep neural network (Keras)

Language:Jupyter Notebook3 30

ml-decal

Notebooks from my student-led machine learning class at Berkeley.

Language:Jupyter Notebook2 30

100-days-of-ml

One challenge every day for 100 (non-consecutive) days

Language:Jupyter Notebook100

attendy

Facial recognition for taking class attendance (Raspberry Pi). IEOR 171 Project - Won 1st Place in Class Competition

Language:Python1 40

audionet-bash

Bash scripts used for batch audio / video processing by my ICSI research team

Language:Shell1 30

course-recommender

CS Course Recommendation Engine (Python Flask)

Language:HTML1 20

cs-182-final-project

CS 182 Vision Project - Generalizable Classifiers

Language:Jupyter Notebook1 30

ml-from-scratch

Supervised machine learning algorithms in C

Language:C1 30

programming-questions

Problems I've completed on HackerRank and LeetCode

Language:Python1 30

recommendation-systems

Prototypes/Explanations of recommendation systems used by Amazon, LinkedIn, and Netflix (NumPy)

Language:Jupyter Notebook1 30

Workout_Tracking_App

React Native App for Tracking and Saving Workouts

Language:JavaScript1 20

adonis-org-template

AdonisJS boilerplate for a club website

Language:JavaScript000

audionet-py

Python scripts for batch video processing (ICSI research)

Language:Python000

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

Language:PythonMIT010

blockchain-decal-final-project

Language:JavaScriptMIT000

Check-In

Lab Assistant Checkin Platform

Language:HTML020

Chrome Extension to capture captions of ongoing meetings by using webkitspeechrecognition api for all the web video conferencing platforms (for google meet, it directly extracts the captions) and sends to flask api for summarization.

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