github.com/hans/ipython-notebooks
hans/ipython-notebooks
Informal IPython experiments and tutorials. TensorFlow, machine learning/deep learning/RL, NLP applications. (⭐ 148)
github.com/fabianjaeger1/DLSC
fabianjaeger1/DLSC
This repository contains the machine learning projects completed for the class "Deep Learning in Scientific Computing" taught at ETH jointly by Siddhartha Mishra and Benjamin Moseley in Spring 2024. The description of the tasks can be found in the PDFs. (⭐ 25)
arxiv.org/abs/2006.09123v1
Algorithms with Predictions
We introduce algorithms that use predictions from machine learning applied to the input to circumvent worst-case analysis. We aim for algorithms that have near optimal performance when these predictions are good, but recover the prediction-less worst...
github.com/alimohammadiamirhossein/CryptoPredictions
alimohammadiamirhossein/CryptoPredictions
CryptoCurrency prediction using machine learning and deep learning (⭐ 262)
arxiv.org/abs/2406.18265v3
Complexity Classes for Online Problems with and without Predictions
With the developments in machine learning, there has been a surge in interest and results focused on algorithms utilizing predictions, not least in online algorithms where most new results incorporate the prediction aspect for concrete online problem...
github.com/marcotcr/lime
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier (⭐ 12100)
www.reddit.com/r/nextfuckinglevel/comments/hzn7cq/12yearold_tells_his_dad_about_a_device_he/
12-year-old tells his dad about a device he invented called “S.A.M” Social Aware…
...
github.com/google-coral/coralnpu
google-coral/coralnpu
A machine learning accelerator core designed for energy-efficient AI at the edge. (⭐ 2133)
www.reddit.com/r/ToiletPaperUSA/comments/18znpr0/sorry_even_in_2024_dennis_prager_doesnt_look_good/
Sorry, even in 2024 Dennis Prager doesn’t look good deficating in the Arby’s ice…
...
github.com/mandiant/commando-vm
mandiant/commando-vm
Complete Mandiant Offensive VM (Commando VM), a fully customizable Windows-based pentesting virtual machine distribution. commandovm@mandiant.com (⭐ 7529)
arxiv.org/abs/2207.08179v1
End-to-End Spoken Language Understanding: Performance analyses of a voice comman…
Spoken Language Understanding (SLU) is a core task in most human-machine interaction systems. With the emergence of smart homes, smart phones and smart speakers, SLU has become a key technology for the industry. In a classical SLU approach, an Automa...
arxiv.org/abs/1703.10409v2
First Passage Time in Computation by Tape-Copying Turing Machines: Slippage of N…
Transcription of the genetic message encoded chemically in the sequence of the DNA template is carried out by a molecular machine called RNA polymerase (RNAP). Backward or forward slippage of the nascent RNA with respect to the DNA template strand gi...
github.com/epfml/ML_course
epfml/ML_course
EPFL Machine Learning Course, Fall 2025 (⭐ 2004)
arxiv.org/abs/1905.09434v3
Automated Process Planning for Turning: A Feature-Free Approach
Turning is the most commonly available and least expensive machining operation, in terms of both machine-hour rates and tool insert prices. A practical CNC process planner has to maximize the utilization of turning, not only to attain precision requi...
www.reddit.com/r/LocalLLaMA/comments/1ll62i4/the_cost_effective_way_to_run_deepseek_r1_models/
The cost effective way to run Deepseek R1 models on cheaper hardware
It's possible to run Deepseek R1 in full size if you have a lot of GPUs in one machine with NVLink, the problem is that it's very expensive. What are the options for running it on a budget (say up to...
arxiv.org/abs/2505.02390v2
Quantitative Analysis of Performance Drop in DeepSeek Model Quantization
Recently, there is a high demand for deploying DeepSeek-R1 and V3 locally, possibly because the official service often suffers from being busy and some organizations have data privacy concerns. While single-machine deployment offers infrastructure si...
www.bing.com/ck/a?!&&p=c7b99f102b21554f94388238bcc7a10638b01ceddf8e49f1448e70f0cb887e67JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=3ae06770-03d0-6d6d-009e-706302666c55&u=a1aHR0cHM6Ly93d3cueW91dHViZS5jb20vd2F0Y2g_dj1KV2N5alF1Z3FOMA&ntb=1
Zelenskyy suggests Trump fly to Ukraine to help 'end the war ...
MORNING TODAYthe ultimate news machine Welcome to our International News Coverage, where we bring you the latest headlines, breaking stories, and in-depth an...
arxiv.org/abs/2206.06473v1
A Dilemma for Solomonoff Prediction
The framework of Solomonoff prediction assigns prior probability to hypotheses inversely proportional to their Kolmogorov complexity. There are two well-known problems. First, the Solomonoff prior is relative to a choice of Universal Turing machine....
arxiv.org/abs/2206.03083v1
Pushing the Limits of Learning-based Traversability Analysis for Autonomous Driv…
Self-driving vehicles and autonomous ground robots require a reliable and accurate method to analyze the traversability of the surrounding environment for safe navigation. This paper proposes and evaluates a real-time machine learning-based Traversab...
arxiv.org/abs/2412.11301v1
Semi-Implicit Neural Ordinary Differential Equations
Classical neural ODEs trained with explicit methods are intrinsically limited by stability, crippling their efficiency and robustness for stiff learning problems that are common in graph learning and scientific machine learning. We present a semi-imp...