A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and deep learning.
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Updated
Jun 16, 2024 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
A proof-of-concept for transforming UBC's Vancouver Campus into a Minecraft world through the use of geospatial data processing and deep learning.
A Python library for the fast symbolic approximation of time series
Fast and explainable clustering in Python
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
My beautiful Neural Network made from scratch and love. It plays the game Flappy-Birds!
For the submission of Task 3 at Encryptix. This is an AI agent that plays the classic game of Tic-Tac-Toe against a human player. You can use algorithms like Minimax with or without Alpha-Beta Pruning to make the AI player unbeatable. This project will help you understand game theory and basic search algorithms
Python library for data augmentation in object detection or image classification model training
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This repository contains Python scripts for various machine learning exercises and implementations. It serves as a practical resource for learning and experimenting with machine learning concepts in Python.
A data driven trade-bot, running on an ensemble of 3 different ML algorithms, generates buy/sell signals of a given asset and timeframe using technical indicators.
The problexity is an open-source python library containing the implementation of measures describing the complexity of the classification and regression problems.
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
An autograd engine built for my understanding
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TrendSage, the stock prediction reddit tool, aims to develop a correlation between stock predictions based on the posts or comments on Reddit and the actual stock trends.
定时获取谷歌学术和arxiv论文的相关更新 (代码只有一个py文件,较简单有注释)
Implementation of Hierarchical MPC with RAID-Net
A platform for creating bots to play Clash Royale
Production Grade Nifi & Nifi Registry. Deploy for VM (Virtual Machine) with Terraform + Ansible, Helm & Helmfile for Kubernetes (EKS)
MS in Artificial Intelligence and Machine Learning