AI-Ahmed

dashbot

Dashbot is an application for showing the trade in U.S. Trade Market (e.g., 4:00am to 8:00pm Eastern Time for the US market using Intraday data using Mercury..

Data_Science_Algorithms

All Algorithms implemented in Python

DQN-OpenAI-CartPole-PyTorch

We're going to be building and training a deep Q-network to learn to balance a pole on a moving cart. This is widely known as the cart and pole problem.

Fix-Linter-flake8

This is a solution for the linter-flake8 problem related to Atom consle in linux and debian.

manim

Animation engine for explanatory math videos

ml-metadata

For recording and retrieving metadata associated with ML developer and data scientist workflows.

MNIST-with-PyTorch-f1_0.99

MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.

neural-style-pt

PyTorch implementation of neural style transfer algorithm

Practical_RL

A course in reinforcement learning in the wild

rl-finapp

This is JAX implementation of Book of Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao & Tikhon Jelvis

AI-Ahmed/dashbot

Dashbot is an application for showing the trade in U.S. Trade Market (e.g., 4:00am to 8:00pm Eastern Time for the US market using Intraday data using Mercury..

AI-Ahmed/manim

Animation engine for explanatory math videos

AI-Ahmed/MNIST-with-PyTorch-f1_0.99

MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.

AI-Ahmed/Practical_RL

A course in reinforcement learning in the wild

AI-Ahmed/rl-finapp

This is JAX implementation of Book of Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao & Tikhon Jelvis

AI-Ahmed/DQN-OpenAI-CartPole-PyTorch

We're going to be building and training a deep Q-network to learn to balance a pole on a moving cart. This is widely known as the cart and pole problem.

AI-Ahmed/Practical_DL

DL course co-developed by YSDA, HSE and Skoltech

AI-Ahmed/AI-Ahmed

AI-Ahmed/alphafold

Open source code for AlphaFold.

AI-Ahmed/BDA-and-DS

Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course

AI-Ahmed/CrypTen

A framework for Privacy Preserving Machine Learning

AI-Ahmed/DeepGpt3Learning

Interactive assistant for writing is one of the essential references any writer is willing to have to find a new idea. Usually, writers search on the internet, read other articles, or watch an event to have an idea of what they can write about to attract their readers.

AI-Ahmed/disco-diffusion-1-adjustments

AI-Ahmed/examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

AI-Ahmed/featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

AI-Ahmed/fin-CV

Scikit-learn style cross-validation classes for financial machine learning algorithms

AI-Ahmed/guidance

A guidance language for controlling large language models.

AI-Ahmed/MinImagen

MinImagen: A minimal implementation of the Imagen text-to-image model

AI-Ahmed/movie-reviewer

Sentiment Analysis Pipeline

AI-Ahmed/NLP-Med-Dialogue

Here, I decided to analyze these dialogues and clean them for having them ready for Modeling. Unfortunately, we're not going to do any kinds of modelling here, all that we're going to do is analyse the dataset that we have by cleaning, removing the characters that represent a noise to the data, and adjusting the punctuation so it can help for having factual sentences.

AI-Ahmed/notebooks

Notebooks using the Hugging Face libraries 🤗

AI-Ahmed/openai-cookbook

Examples and guides for using the OpenAI API

AI-Ahmed/PythonWindows

Unofficial Python installers for Windows

AI-Ahmed/Quant-Finance-With-Python-Code

Repo for code examples in Quantitative Finance with Python by Chris Kelliher

AI-Ahmed/seqtolang

Multi-Langauge Identification

AI-Ahmed/spinningup

An educational resource to help anyone learn deep reinforcement learning.

AI-Ahmed/stable-diffusion-webui

Stable Diffusion web UI

AI-Ahmed/TFDistilBert-N-grams

Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).

AI-Ahmed/TSCL

Contrastive Learning for Time Series

AI-Ahmed/whisper-test

Automatically generate and overlay subtitles for any video using OpenAi Whisper